Dinghan Shen

Microsoft (United States) — United States

Computer Science · Physical Sciences

28h-index3.6kcitations66works0.02yr avg
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Research Topics

Topic Modeling(53), Natural Language Processing Techniques(46), Multimodal Machine Learning Applications(20), Speech Recognition and Synthesis(12), Generative Adversarial Networks and Image Synthesis(7)

Publications66 total

What Makes Good In-Context Examples for GPT-3?
2022· 469 citedOpen Access
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization
arXiv (Cornell University)·2021· 5 citedOpen Access
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
2021· 16 cited
What Makes Good In-Context Examples for GPT-$3$?
arXiv (Cornell University)·2021· 155 citedOpen Access
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability
2021· 29 citedOpen Access
MixKD: Towards Efficient Distillation of Large-scale Language Models
arXiv (Cornell University)·2020· 30 citedOpen Access
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
arXiv (Cornell University)·2020· 28 citedOpen Access
Improving Text Generation with Student-Forcing Optimal Transport
arXiv (Cornell University)·2020· 2 citedOpen Access
Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
arXiv (Cornell University)·2020· 3 citedOpen Access
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
arXiv (Cornell University)·2020· 94 citedOpen Access
Generative Semantic Hashing Enhanced via Boltzmann Machines
arXiv (Cornell University)·2020· 4 citedOpen Access
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
arXiv (Cornell University)·2020· 4 citedOpen Access
Improving Adversarial Text Generation by Modeling the Distant Future
arXiv (Cornell University)·2020Open Access
Vision-Language Navigation Policy Learning and Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2020· 25 cited
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
2020· 65 citedOpen Access
Improving Text Generation with Student-Forcing Optimal Transport
2020· 11 citedOpen Access
Improving Adversarial Text Generation by Modeling the Distant Future
2020· 16 citedOpen Access
Deep Latent-Variable Models for Natural Language Understanding and Generation
2020
Generative Semantic Hashing Enhanced via Boltzmann Machines
2020· 10 citedOpen Access
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding
arXiv (Cornell University)·2019· 37 citedOpen Access
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Frequent Co-authors

Lawrence Carin(38), Yizhe Zhang(21), Guoyin Wang(17), Wenlin Wang(14), Ricardo Henao(14), Zhe Gan(11), Weizhu Chen(8), Martin Renqiang Min(8), Qinliang Su(8), Aslı Çelikyılmaz(7), Xinyuan Zhang(7), Li‐Qun Chen(6), Pengyu Cheng(6), Xin Wang(5), Chenyang Tao(5), Ruiyi Zhang(5), Changyou Chen(5), Qian Yang(4), Qiuyuan Huang(3), Jianfeng Gao(3)